cubescripts/retail_set_words.csv
Dan Niemitalo 21a52cc5c2 Retail draft word counts
Fixed issues with some sets, added more set codes for draftable sets,
added CSV output file.
2020-11-28 19:08:13 -06:00

4.4 KiB

1Setc (mean)c (med)u (mean)u (med)r (mean)r (med)m (mean)m (med)
2LEA14.710.016.11422.217.500
33ED14.91015.41421.31700
44ED14.81016.21425.220.500
55ED15.51417.815.523.82000
66ED10.49.512.411.518.515.000
77ED10.29.011.410.514.314.000
88ED9.8911.91116.51400
99ED10.59.012.511.018.51500
1010E13.61217.214.020.51800
11M1010.0914.812.021.11932.333
12M1111.71014.512.523.92426.926
13M1211.81117.518.025.02232.932
14M1311.61121.618.022.21934.136
15M1412.21116.917.025.92537.537
16M1516.81522.219.030.53241.940
17ORI19.71725.222.529.32958.447.5
18M1911.31119.418.026.12439.939.5
19M2015.215.023.42131.83247.551
20M2116.81624.323.032.53446.350.5
21POR6.68.010.41015.21300
22P027.18.012.81213.71400
23PTK8.0914.01218.01700
24S995.949.41012.51100
25ARN21.314.021.71924.020.500
26ATQ17.216.021.31833.125.000
27LEG16.91321.517.525.42000
28DRK14.51121.317.528.72700
29FEM23.119.529.82728.923.500
30HML17.61218.61525.222.000
31ICE21.317.023.51933.23300
32ALL20.719.031.02939.941.000
33MIR22.32120.019.029.425.500
34VIS19.718.525.72228.826.000
35WTH18.416.021.21726.422.500
36TMP14.313.017.214.022.619.000
37STH14.11121.920.523.522.000
38EXO16.61520.718.526.425.000
39USG15.814.017.315.022.321.000
40ULG16.61420.515.522.922.000
41UDS13.61122.322.518.516.000
42MMQ15.013.018.016.020.418.000
43NEM19.01523.522.529.123.000
44PCY15.01418.017.523.221.000
45INV19.516.017.915.024.120.500
46PLS20.31724.922.527.32500
47APC17.81727.828.026.317.000
48ODY18.519.018.917.522.820.000
49TOR23.02325.926.526.226.500
50JUD19.31826.528.026.325.500
51ONS20.918.523.621.023.723.000
52LGN21.01922.12228.32500
53SCG23.52323.222.030.031.000
54MRD13.812.519.916.527.324.000
55DST16.71624.62327.52700
565DN21.62018.11725.42300
57CHK19.817.022.82027.724.500
58BOK23.91830.43030.12800
59SOK21.71922.52229.42700
60RAV19.917.022.419.027.924.000
61GPT19.92019.51827.72400
62DIS20.220.525.723.031.229.000
63CSP22.721.028.82436.434.000
64TSP26.52329.830.035.533.500
65PLC24.018.030.52934.628.000
66FUT29.526.032.128.031.827.500
67LRW21.81827.427.031.429.000
68MOR21.818.035.036.030.728.000
69SHM20.61520.017.524.52400
70EVE22.620.025.421.527.028.000
71ALA16.81620.317.027.32529.730
72CON18.917.520.218.024.82327.024.0
73ARB24.424.523.018.526.42126.624.0
74ZEN20.21925.023.531.62831.628
75WWK20.921.527.126.028.33134.936.0
76ROE17.216.522.322.528.12733.139
77SOM16.51522.220.527.82333.729
78MBS15.614.021.520.525.62530.826.5
79NPH18.619.024.821.531.23129.229.5
80ISD16.71520.71826.62335.134.5
81DKA19.520.525.226.533.130.037.931.0
82AVR18.01520.417.026.92431.333
83RTR16.91520.321.028.22531.330
84GTC16.81522.020.030.42938.335
85DGM16.613.024.619.534.43540.439
86THS17.81426.824.031.32941.544
87BNG19.016.527.225.034.43542.643.5
88JOU18.518.026.926.524.62339.137.5
89KTK18.51822.721.027.72538.738
90FRF21.121.027.126.039.14240.636.5
91DTK20.61827.823.535.13739.140
92BFZ19.72024.923.530.73237.336
93OGW17.317.522.721.032.231.538.539.5
94SOI19.41927.624.534.431.542.942.0
95EMN18.41827.726.532.029.544.942
96KLD18.218.020.420.032.23144.146
97AER18.81925.424.029.628.538.037.0
98AKH18.11825.225.530.72942.039
99HOU17.717.526.825.531.930.543.143.5
100XLN16.31620.519.532.22829.335
101RIX14.513.523.520.035.233.541.139
102DOM18.21724.921.029.42640.539
103GRN17.61326.124.030.33044.741
104RNA15.81424.924.529.62849.146
105WAR17.11627.728.041.545.048.349.0
106ELD21.52226.025.032.93242.545
107THB18.21832.130.034.93350.851
108IKO18.51829.727.037.03955.955
109ZNR22.42128.928.035.336.054.450
110MMA26.32626.927.533.13429.328
111MM221.22023.724.027.62731.930
112EMA18.41821.219.023.22131.129
113MM318.41418.314.527.92532.134
114IMA21.21822.923.525.92425.628
115A2519.31722.819.023.82232.836
116UMA22.32124.424.028.22431.633.0
1172XM21.92123.121.023.62135.736.0
118MH125.026.024.822.031.02745.750
119CMR21.017.029.226.036.53638.537.0
120JMP15.614.518.91625.62432.135